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Modern software systems often separate control logic from high-performance execution logic. This design is common in networking, distributed systems, operating systems, storage engines, and embedded s
Introduction Engineering software often combines multiple programming languages to leverage their individual strengths. A common approach is to implement computational algorithms in native C or C++ wh
Deadlocks are one of the most common synchronization problems encountered in operating systems and concurrent programming. Although the concept is frequently introduced in textbooks, observing it insi
Memory and resource allocation are fundamental operations inside the Linux kernel. Whether assigning device IDs, managing CPU masks, allocating interrupt vectors, or tracking hardware resources, the k
The Linux scheduler is one of the most important components of the operating system. Every running program, background service, and kernel thread eventually interacts with the scheduler. In this artic
Linux Kernel Mutexes Explained with a Mini Driver Concurrency is a fundamental aspect of Linux kernel programming. Device drivers often execute in multiple contexts, making synchronization essential w
Modern Linux kernel development is fundamentally about correctness under concurrency. Whether we're writing a character driver, platform driver, network subsystem, or filesystem code, multiple executi
A hands-on Linux Kernel Module (LKM) demonstrating kernel mutexes, kernel threads, critical sections, thread synchronization, and proper module lifecycle management. Table of Contents Overview Lear
Introduction Concurrency is everywhere inside the Linux kernel. Multiple threads, processes, softirqs, tasklets, and interrupt handlers can access the same shared data simultaneously. Without synchron
